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The E-Commerce Database Management Project is a robust and scalable database solution designed to streamline and optimize the operations of an e-commerce business.

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πŸ’‘ SQL Project by Yash Yennewar

πŸ›’ E-Commerce Database Management Project

Project Banner

πŸ“Œ Project Overview

The E-Commerce Database Management Project is a robust and scalable database solution designed to streamline and optimize the operations of an e-commerce business. This project is developed using MySQL and focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders.

πŸ“Š E-commerceproject(Code)


🎯 Project Objectives

πŸ‘€ Customer Insights

  • 🎯 Segment customers based on purchasing behavior and preferences.
  • πŸ“’ Develop personalized marketing strategies using customer details (names, emails).
  • πŸ“Š Analyze customer retention and engagement rates.

πŸ“¦ Product Inventory Management

  • 🏷️ Categorize products based on sales frequency, popularity, and availability.
  • πŸ†• Recommend new products for the collection using sales trends.
  • πŸ“‰ Identify underperforming products for potential decommissioning.

πŸ’° Revenue Optimization

  • πŸ’Ή Assess pricing strategies by analyzing product pricing trends.
  • 🎯 Identify high-performing product categories and types for profit maximization.
  • πŸ“Š Monitor revenue contribution from various customer segments.

⚑ Operational Efficiency

  • πŸ“Œ Streamline inventory tracking and management.
  • πŸ“‰ Detect and address inventory gaps in real-time.
  • πŸ“‹ Implement data-driven stock replenishment strategies.

πŸ› οΈ Tools & Technologies

  • SQL: For data extraction, transformation, and analysis.
  • E-Commerce Database: Primary data source for sales and customer data.
  • Exploratory Data Analysis (EDA): To uncover patterns, trends, and insights within the data.

πŸ“Š Expected Insights & Outcomes

  • πŸ“ˆ Enhanced marketing strategies via customer segmentation.
  • πŸ›οΈ Optimized product inventory management.
  • πŸ’΅ Increased revenue through data-driven pricing.
  • ⚑ Improved operational efficiency with precise inventory control.

Queries and Visualizations

Q1: Retrieve first_name,last_name and email of all customer records.

Q1

Q2: List all product names and their prices.

Q2

Q3: Display all categories available in the category table.

Q3

Q4: List all products with a stock quantity greater than 75.

Q4

Q5: Find total number of orders placed by each customer.

Q5

Q6: Retrieve the product name and the total sales amount for each product.

Q6

Q7: List all products with category name.

Q7

Q8: Show the top 5 most expensive products.

Q8

Q9: Display all orders placed in dates between '2025-05-01' and '2025-05-10'.

Q9

Q10: Display customers with their total spending.

Q10

Q11: Display customers who spends more than 25000.

Q11

Q12: Display the top 3 customers with the highest spending.

Q12

Q13: List the products that have been sold more than 10 times.

Q13

Q14: Retrieve the most popular category by sales.

Q14

Q15: Most Popular Product by Orders.

Q15

Q16: Order Completion Rate by Customer.

Q16

Q17: Total Revenue by Seller and Category.

Q17

Q18: Average Rating by Product and Category.

Q18

Q19: Most Profitable Category.

Q19

Q20: List the Sellers with their total sales.

Q20

Q21: Customer Purchase Recency and Frequency.

Q21

Q22: Customers with Unpurchased Cart Items.

Q22

Q23: Average Payment by Mode.

Q23

Q24: Customer's Favorite Category.

Q24

Q25: List the customers with undelivered online orders.

Q25


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The E-Commerce Database Management Project is a robust and scalable database solution designed to streamline and optimize the operations of an e-commerce business.

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